LLM Caching

Cut LLM costs and latency with exact match, semantic, and provider-side caching layers.

When to Use This Skill

Use this skill when:

• The same or similar queries are asked repeatedly (FAQ bots, support tools)
• LLM API costs are growing and you need immediate savings
• Serving high request volumes where repeated queries cause bottlenecks
• Implementing prompt caching for long system prompts (Anthropic/OpenAI)
• Building offline-capable AI features that need response persistence

Caching Layers